• DocumentCode
    228
  • Title

    Accelerometry-Based Gait Analysis and Its Application to Parkinson´s Disease Assessment— Part 2 : A New Measure for Quantifying Walking Behavior

  • Author

    Yoneyama, Mitsuru ; Kurihara, Yosuke ; Watanabe, K. ; Mitoma, Hiroshi

  • Author_Institution
    Mitsubishi Chem. Group Sci. & Technol. Res. Center, Yokohama, Japan
  • Volume
    21
  • Issue
    6
  • fYear
    2013
  • fDate
    Nov. 2013
  • Firstpage
    999
  • Lastpage
    1005
  • Abstract
    Gait analysis is a valuable tool for obtaining quantitative information on motor deficits in Parkinson´s disease (PD). Since the characteristic gait patterns of PD patients may not be fully identified by brief examination in a clinic, long-term, and unobtrusive monitoring of their activities is essential, especially in a nonclinical setting. This paper describes a single accelerometer-based gait analysis system for the assessment of ambulatory gait properties. Acceleration data were recorded continuously for up to 24 h from normal and PD subjects, from which gait peaks were picked out and the relationship between gait cycle and vertical gait acceleration was evaluated. By fitting a model equation to the relationships, a quantitative index was obtained for characterizing the subjects´ walking behavior. The averaged index for PD patients with gait disorder was statistically smaller than the value for normal subjects. The proposed method could be used to evaluate daily gait characteristics and thus contribute to a more refined diagnosis and treatment of the disease.
  • Keywords
    accelerometers; bioelectric potentials; diseases; gait analysis; medical signal detection; medical signal processing; Parkinson disease assessment; accelerometer-based gait analysis system; ambulatory gait property assessment; characteristic gait pattern; equation model; gait cycle evaluation; gait disorder; motor deficit; time 24 h; vertical gait acceleration evaluation; walking behavior quantification; Accelerometers; Parkinson´s disease (PD); biomedical signal processing; gait analysis; Acceleration; Actigraphy; Aged; Diagnosis, Computer-Assisted; Female; Gait; Gait Disorders, Neurologic; Humans; Male; Parkinson Disease; Reproducibility of Results; Sensitivity and Specificity; Severity of Illness Index; Walking;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2013.2268251
  • Filename
    6542732